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Hierarchical modelling of functional brain networks in population and individuals from big fMRI data
(2021-02)
A major goal of large-scale brain imaging datasets is to provide resources for investigating heterogeneous
populations. Characterisation of functional brain networks for individual subjects from these datasets will have
an ...
Generalizing Brain Decoding Across Subjects with Deep Learning
(2022-05)
Decoding experimental variables from brain imaging data is gaining popularity,
with applications in brain-computer interfaces and the study of neural representations. Decoding is typically subject-specific and does not ...